Governance disclosure assessment
Filtered: agency = DOE; feedback = affirmative
Key findings
- 64 use-case records from 1 agencies: 45 deployed (70%), 3 pilots, 16 in development or acquisition, 0 retired, 0 with no stage reported.
- 0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
- 80% of reported deployed use cases (36 of 45) are classified as generative or agentic AI.
- Sourcing is reported for 100% of use cases. Where reported, 36% involve in-house development.
Governance evidence: use cases designated high-impact
| Practice | In place | In progress | Not in place | N/A or precluded | Other | No answer | In scope |
|---|---|---|---|---|---|---|---|
| Pre-deployment testing | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| AI impact assessment | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Independent review | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Ongoing monitoring | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Operator training | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Fail-safe | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Appeal process | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| User and public consultation | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.
Agencies with high-impact records
| Agency | High-impact | Answered any practice | Practice answers in place |
|---|
Method
All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.
Limitations
- Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
- A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
- Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
- The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
- This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.
Source records
First 40 of 64 records, deployed first. The full list is available as CSV from the explorer with the same filters.
| Record | Agency ID | Agency | Use case | Stage |
|---|---|---|---|---|
| R3271 | DOE-10 | DOE | AI for Operations Center | Deployed |
| R3308 | DOE-430 | DOE | ServiceNow Predictive Intelligence | Deployed |
| R3312 | DOE-434 | DOE | NLCOO AI for Lessons Learned tool | Deployed |
| R3339 | DOE-469 | DOE | Hanford Ai Liaison (HAL) 1.1 | Deployed |
| R3343 | DOE-477 | DOE | OPQ-AI | Deployed |
| R3357 | DOE-495 | DOE | LANL AI Portal | Deployed |
| R3359 | DOE-498 | DOE | ChatGPT Enterprise | Deployed |
| R3360 | DOE-499 | DOE | Argo | Deployed |
| R3369 | DOE-510 | DOE | Microsoft Bing Service | Deployed |
| R3377 | DOE-519 | DOE | Visual Studio Enterprise | Deployed |
| R3383 | DOE-525 | DOE | Microsoft OneNote | Deployed |
| R3393 | DOE-536 | DOE | Microsoft Azure Authoring Tools | Deployed |
| R3405 | DOE-549 | DOE | Apple Intelligence | Deployed |
| R3407 | DOE-551 | DOE | Microsoft ScreenSketch | Deployed |
| R3408 | DOE-552 | DOE | Microsoft Visual C++ Additional Runtime | Deployed |
| R3412 | DOE-556 | DOE | Microsoft Project | Deployed |
| R3417 | DOE-561 | DOE | Google Chrome Generative AI | Deployed |
| R3427 | DOE-571 | DOE | GitHub Co-Pilot | Deployed |
| R3433 | DOE-577 | DOE | Microsoft Copilot | Deployed |
| R3440 | DOE-586 | DOE | GitHub Copilot | Deployed |
| R3451 | DOE-596 | DOE | Microsoft Visual C++ Redistributable | Deployed |
| R3454 | DOE-599 | DOE | Microsoft Teams | Deployed |
| R3458 | DOE-602 | DOE | Microsoft Search in Bing | Deployed |
| R3462 | DOE-608 | DOE | Microsoft Teams Classic | Deployed |
| R3479 | DOE-623 | DOE | Microsoft MSPaint | Deployed |
| R3488 | DOE-631 | DOE | Visual Studio Community | Deployed |
| R3489 | DOE-632 | DOE | Invoice Scanning System | Deployed |
| R3491 | DOE-634 | DOE | Microsoft OneDrive | Deployed |
| R3501 | DOE-645 | DOE | Georeference Figures | Deployed |
| R3507 | DOE-651 | DOE | Microsoft 365 | Deployed |
| R3514 | DOE-658 | DOE | pComply-AI-High Risk | Deployed |
| R3515 | DOE-659 | DOE | Groundwater Modeling | Deployed |
| R3524 | DOE-667 | DOE | Microsoft Visual C++ Minimum Runtime | Deployed |
| R3526 | DOE-669 | DOE | Microsoft OneDrive MUI | Deployed |
| R3532 | DOE-674 | DOE | Scripting | Deployed |
| R3542 | DOE-685 | DOE | Microsoft 365 Apps for Enterprise | Deployed |
| R3547 | DOE-691 | DOE | Microsoft Outlook MUI | Deployed |
| R3554 | DOE-698 | DOE | Microsoft Edge | Deployed |
| R3567 | DOE-710 | DOE | SQL Server Management Studio | Deployed |
| R3568 | DOE-711 | DOE | Microsoft Exchange Server | Deployed |
Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory